Machine-learning approach to understanding ultrafast carrier dynamics in the three-dimensional Brillouin zone of PtBi2

Paulina Majchrzak, Charlotte Sanders, Yu Zhang, Andrii Kuibarov, Oleksandr Suvorov, Emma Springate, Iryna Kovalchuk, Saicharan Aswartham, Grigory Shipunov, Bernd Büchner, Alexander Yaresko, Sergey Borisenko, Philip Hofmann*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Using time- and angle-resolved photoemission spectroscopy, we examine the unoccupied electronic structure and electron dynamics of the type-I Weyl semimetal PtBi2. Using the ability to change the probe photon energy over a wide range, we identify the predicted Weyl points in the unoccupied three-dimensional band structure and we discuss the effect of k broadening in the normally unoccupied states. We characterize the electron dynamics close to the Weyl points and in other parts of three-dimensional Brillouin zone using k-means, an unsupervised machine-learning technique. This reveals distinct differences—in particular, that the electron dynamics close to the Weyl points are slower than in Brillouin zone regions close to the bulk Fermi surface.
Original languageEnglish
Article number013025
Number of pages11
JournalPhysical Review Research
Volume7
Issue number1
DOIs
Publication statusPublished - 7 Jan 2025

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